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Output File for Query: <br>
rock/rock.00038.mp3 <br><br>Using Distance Function: <br>
l2
<br>kBest List (by minimum distance) for each index<table Border>
<tr>
<td>
<a href="output_rock_rock.00038.mp3/./GTZAN.ssd.arff.html">./GTZAN.ssd.arff</a>
</td>
<td>
<a href="output_rock_rock.00038.mp3/./GTZAN.rh.arff.html">./GTZAN.rh.arff</a>
</td>
<td>
<a href="output_rock_rock.00038.mp3/./GTZAN.rp.arff.html">./GTZAN.rp.arff</a>
</td>
</tr>
</table>
<br>kBest statistics across all indices' resultlists<table Border>
<tr>
<td>Minimum Distance</td><td>Maximum Distance</td><td>Average Distance</td>
</tr>
<tr>
<td>7.4387</td><td>350.5632</td><td>157.825</td>
</tr>
</table>
<br>Merged Output List: Documents of minimal average rank across all Indices (modified output of UE2)<table Border>
<tr>
<td>Document Name</td><td>Minimum Distance</td><td>Sum of occurences <br>in kBest of each Index</td><td>Average Rank</td><td>Average Distance</td>
</tr>
<tr>
<td>rock/rock.00026.mp3</td><td>19.6667</td><td>0</td><td>19.6667</td><td>182.1013</td>
</tr>
<tr>
<td>rock/rock.00068.mp3</td><td>19.3333</td><td>1</td><td>19.3333</td><td>179.5645</td>
</tr>
<tr>
<td>rock/rock.00058.mp3</td><td>22</td><td>0</td><td>22</td><td>185.6645</td>
</tr>
<tr>
<td>rock/rock.00013.mp3</td><td>27.3333</td><td>0</td><td>27.3333</td><td>185.5782</td>
</tr>
<tr>
<td>rock/rock.00084.mp3</td><td>8.3333</td><td>0</td><td>8.3333</td><td>175.5619</td>
</tr>
<tr>
<td>rock/rock.00021.mp3</td><td>8.6667</td><td>1</td><td>8.6667</td><td>164.5917</td>
</tr>
<tr>
<td>rock/rock.00065.mp3</td><td>14</td><td>1</td><td>14</td><td>174.5081</td>
</tr>
</table>
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